BERT is a versatile language model that can be easily fine-tuned to many language tasks. But how has it learned the language so well? And what is a language model? And what does it mean to fine-tune a model? Want to give AssemblyAI’s automatic speech-to-text transcription API a try? Get your free API token here 👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_15 We learn all that in this video. What are Transformers? - https://www.youtube.com/watch?v=_UVfwBqcnbM What is GPT-3 and how does it work? - https://www.youtube.com/watch?v=xB6hZwYsV2c Source code of BERT - https://github.com/google-research/bert